ASUS System Product Name
Geekbench AI Score
23724
Single Precision Score
35833
Half Precision Score
17976
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | CoreRemnant |
| Upload Date | August 15 2024 06:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9060
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
13827
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7787
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17157
278.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21241
344.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15945
259.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
142198
165.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
326217
380.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
125180
146.6 IPS |
|
|
Object Detection (SP)
|
100% |
11642
923.4 IPS |
|
|
Object Detection (HP)
|
100% |
17858
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
9838
788.9 IPS |
|
|
Face Detection (SP)
|
100% |
27971
332.4 IPS |
|
|
Face Detection (HP)
|
100% |
41461
492.6 IPS |
|
|
Face Detection (Q)
|
97% |
23286
277.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
53372
411.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98182
756.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
41436
346.9 IPS |
|
|
Style Transfer (SP)
|
100% |
244028
313.7 IPS |
|
|
Style Transfer (HP)
|
100% |
570734
733.7 IPS |
|
|
Style Transfer (Q)
|
98% |
232316
299.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44912
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50016
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29702
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1965
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1762
39.3 IPS |
